{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:U6ASSFDP24BOMCMLXBD2KL4GEG","short_pith_number":"pith:U6ASSFDP","canonical_record":{"source":{"id":"2204.07804","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T14:10:07Z","cross_cats_sorted":[],"title_canon_sha256":"90b80ecfa1381b9fade68f17f76d353a12b751ed77032a52fd309a7260775b5b","abstract_canon_sha256":"537b20a2f130841dd2f645eb3a726da80b0d33e375046c7a28dcd3771cac8ce3"},"schema_version":"1.0"},"canonical_sha256":"a78129146fd702e6098bb847a52f8621b096a9838cea1518165053463cd0565c","source":{"kind":"arxiv","id":"2204.07804","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.07804","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2204.07804v2","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.07804","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"U6ASSFDP24BO","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"U6ASSFDP24BOMCML","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"U6ASSFDP","created_at":"2026-07-05T04:21:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:U6ASSFDP24BOMCMLXBD2KL4GEG","target":"record","payload":{"canonical_record":{"source":{"id":"2204.07804","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T14:10:07Z","cross_cats_sorted":[],"title_canon_sha256":"90b80ecfa1381b9fade68f17f76d353a12b751ed77032a52fd309a7260775b5b","abstract_canon_sha256":"537b20a2f130841dd2f645eb3a726da80b0d33e375046c7a28dcd3771cac8ce3"},"schema_version":"1.0"},"canonical_sha256":"a78129146fd702e6098bb847a52f8621b096a9838cea1518165053463cd0565c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:21:12.512698Z","signature_b64":"F5LS5EAwgLReGTv4KWMOZ4LQxuDZGFyZOvPcfm1JAYSUdTiHK6EZ/p34nZ8ia0JZbv5W3X1RB+PQMifLf8a/Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a78129146fd702e6098bb847a52f8621b096a9838cea1518165053463cd0565c","last_reissued_at":"2026-07-05T04:21:12.512279Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:21:12.512279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.07804","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cv+Y+DwcSe3fDyJtfUpR7H9LoTPFslIt4x9yawiRqou8yshumSyu8zOaGknP7SFQLIHteRShHTBHvtBcwA+5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:43:38.406553Z"},"content_sha256":"df18a1cda5f41fb96b44f9f03b84b3848374e261cc3d147ec60455041585a041","schema_version":"1.0","event_id":"sha256:df18a1cda5f41fb96b44f9f03b84b3848374e261cc3d147ec60455041585a041"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:U6ASSFDP24BOMCMLXBD2KL4GEG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Classify Open Intent via Soft Labeling and Manifold Mixup","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cong Wang, Qing Gu, Yafeng Yin, Zhiwei Jiang, Zifeng Cheng","submitted_at":"2022-04-16T14:10:07Z","abstract_excerpt":"Open intent classification is a practical yet challenging task in dialogue systems. Its objective is to accurately classify samples of known intents while at the same time detecting those of open (unknown) intents. Existing methods usually use outlier detection algorithms combined with K-class classifier to detect open intents, where K represents the class number of known intents. Different from them, in this paper, we consider another way without using outlier detection algorithms. Specifically, we directly train a (K+1)-class classifier for open intent classification, where the (K+1)-th clas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.07804","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.07804/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kCEQAVDA7Hn0HwcBg2af5yHUzCRmr69llltXq79HVJmtuWZBqFQQOw8Bgw0yEFq1aUY1wzrzPRgkLFgghYMqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:43:38.407088Z"},"content_sha256":"22dbd2221c5444cbb7440e2fd2a82c8041faefabb906afaf1eb1011e7cca98c7","schema_version":"1.0","event_id":"sha256:22dbd2221c5444cbb7440e2fd2a82c8041faefabb906afaf1eb1011e7cca98c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/bundle.json","state_url":"https://pith.science/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-22T16:43:38Z","links":{"resolver":"https://pith.science/pith/U6ASSFDP24BOMCMLXBD2KL4GEG","bundle":"https://pith.science/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/bundle.json","state":"https://pith.science/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6ASSFDP24BOMCMLXBD2KL4GEG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:U6ASSFDP24BOMCMLXBD2KL4GEG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"537b20a2f130841dd2f645eb3a726da80b0d33e375046c7a28dcd3771cac8ce3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T14:10:07Z","title_canon_sha256":"90b80ecfa1381b9fade68f17f76d353a12b751ed77032a52fd309a7260775b5b"},"schema_version":"1.0","source":{"id":"2204.07804","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.07804","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2204.07804v2","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.07804","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"U6ASSFDP24BO","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"U6ASSFDP24BOMCML","created_at":"2026-07-05T04:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"U6ASSFDP","created_at":"2026-07-05T04:21:12Z"}],"graph_snapshots":[{"event_id":"sha256:22dbd2221c5444cbb7440e2fd2a82c8041faefabb906afaf1eb1011e7cca98c7","target":"graph","created_at":"2026-07-05T04:21:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2204.07804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open intent classification is a practical yet challenging task in dialogue systems. Its objective is to accurately classify samples of known intents while at the same time detecting those of open (unknown) intents. Existing methods usually use outlier detection algorithms combined with K-class classifier to detect open intents, where K represents the class number of known intents. Different from them, in this paper, we consider another way without using outlier detection algorithms. Specifically, we directly train a (K+1)-class classifier for open intent classification, where the (K+1)-th clas","authors_text":"Cong Wang, Qing Gu, Yafeng Yin, Zhiwei Jiang, Zifeng Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T14:10:07Z","title":"Learning to Classify Open Intent via Soft Labeling and Manifold Mixup"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.07804","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:df18a1cda5f41fb96b44f9f03b84b3848374e261cc3d147ec60455041585a041","target":"record","created_at":"2026-07-05T04:21:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"537b20a2f130841dd2f645eb3a726da80b0d33e375046c7a28dcd3771cac8ce3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T14:10:07Z","title_canon_sha256":"90b80ecfa1381b9fade68f17f76d353a12b751ed77032a52fd309a7260775b5b"},"schema_version":"1.0","source":{"id":"2204.07804","kind":"arxiv","version":2}},"canonical_sha256":"a78129146fd702e6098bb847a52f8621b096a9838cea1518165053463cd0565c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a78129146fd702e6098bb847a52f8621b096a9838cea1518165053463cd0565c","first_computed_at":"2026-07-05T04:21:12.512279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:21:12.512279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F5LS5EAwgLReGTv4KWMOZ4LQxuDZGFyZOvPcfm1JAYSUdTiHK6EZ/p34nZ8ia0JZbv5W3X1RB+PQMifLf8a/Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T04:21:12.512698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.07804","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df18a1cda5f41fb96b44f9f03b84b3848374e261cc3d147ec60455041585a041","sha256:22dbd2221c5444cbb7440e2fd2a82c8041faefabb906afaf1eb1011e7cca98c7"],"state_sha256":"c03cf3c0b62da91106bccaa7de998b311651cc6eb07c0e50ded65afd486dbc1b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWnrEd964Qd2bGXNXc18QMOrLWpyXxcmp6LdWZ8T0EwpkVYokFoHflzGzuSquUeDyP8Lq9IwnTq5j6/T19uUCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T16:43:38.413680Z","bundle_sha256":"dc352c51bd63bd9086c0f281c35d2d159cf568f9111b16eb7fe3910915e2a20b"}}